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» Modeling Relational Data as Graphs for Mining
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WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 11 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 10 months ago
Finding Representative Set from Massive Data
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...
SIGMOD
2011
ACM
297views Database» more  SIGMOD 2011»
14 years 7 months ago
Graph cube: on warehousing and OLAP multidimensional networks
We consider extending decision support facilities toward large sophisticated networks, upon which multidimensional attributes are associated with network entities, thereby forming...
Peixiang Zhao, Xiaolei Li, Dong Xin, Jiawei Han
ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
15 years 10 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
CIKM
2011
Springer
14 years 4 months ago
Content based social behavior prediction: a multi-task learning approach
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Ju...